ANOMALY DETECTION BASED IN BAYSIAN INFERENCE

摘要

A method is described for determining the presence of anomalies in a water system, the method comprising the steps of: (a) periodically sensing at least one water system parameter at least one sensing location; (b) transmitting data representative of the sensed parameter to a processing unit; (c) performing a checking and cleaning operation on the data received at the processing unit; (d) performing a noise removal operation to the data received at the processing unit; (e) predicting a subsequent data value for the water system parameter; (f) determining a discrepancy between the sensed data and the predicted data value using Statistical Process Control; (g) feeding the processed discrepancy into a Bayesian-based inference system to determine a probability of the data discrepancy representing an actual system anomaly; and (h) raising a detection alarm if the probability exceeds a predetermined threshold.